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    Autonomous Vision Navigation of Spacecraft in Lunar Orbit

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    Author
    Bader, Nolan A.
    Date
    2016-04-22
    Advisor
    Spanos, Pol D; Woffinden, Dave C
    Degree
    Master of Science
    Abstract
    NASA aims to achieve unprecedented navigational reliability for the first manned lunar mission of the Orion spacecraft in 2023. A technique for accomplishing this is to integrate autonomous feature tracking as an added means of improving position and velocity estimation. In this thesis, a template matching algorithm and optical sensor are tested onboard three simulated lunar trajectories using linear covariance techniques under various conditions. A preliminary characterization of the camera gives insight into its ability to determine azimuth and elevation angles to points on the surface of the Moon. A navigation performance analysis shows that an optical camera sensor can aid in decreasing position and velocity errors, particularly in a loss of communication scenario. Furthermore, it is found that camera quality and computational capability are driving factors affecting the performance of such a system.
    Keyword
    vision; navigation; lunar; linear covariance; feature tracking; More... template matching; orion Less...
    Citation
    Bader, Nolan A.. "Autonomous Vision Navigation of Spacecraft in Lunar Orbit." (2016) Master’s Thesis, Rice University. https://hdl.handle.net/1911/96609.
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    • Rice University Electronic Theses and Dissertations [13128]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
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